Package: coneproj 1.20

Xiyue Liao

coneproj: Primal or Dual Cone Projections with Routines for Constrained Regression

Routines doing cone projection and quadratic programming, as well as doing estimation and inference for constrained parametric regression and shape-restricted regression problems. See Mary C. Meyer (2013)<doi:10.1080/03610918.2012.659820> for more details.

Authors:Mary C. Meyer [aut], Xiyue Liao [aut, cre]

coneproj_1.20.tar.gz
coneproj_1.20.tar.gz(r-4.5-noble)coneproj_1.20.tar.gz(r-4.4-noble)
coneproj_1.20.tgz(r-4.4-emscripten)
coneproj.pdf |coneproj.html✨
coneproj/json (API)

# Install 'coneproj' in R:
install.packages('coneproj', repos = 'https://cloud.r-project.org')
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • FEV - Forced Expiratory Volume
  • TwoDamat - A Two Dimensional Constraint Matrix
  • cubic - A Data Set for the Example of the Qprog Function
  • feet - Foot Measurements for Fourth Grade Children

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

4.42 score 2 stars 21 packages 3.5k downloads 1 mentions 14 exports 2 dependencies

Last updated 1 months agofrom:357497054c. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 21 2025
R-4.5-linux-x86_64OKMar 21 2025
R-4.4-linux-x86_64OKMar 21 2025

Exports:check_irredconcconeAconeBconstregconvdecrdecr.concdecr.convincrincr.concincr.convqprogshapereg

Dependencies:RcppRcppArmadillo

Citation

To cite coneproj in publications use:

Xiyue Liao, Mary C. Meyer (2014). coneproj: An R Package for the Primal or Dual Cone Projections with Routines for Constrained Regression. Journal of Statistical Software, 61(12), 1-22.

Corresponding BibTeX entry: 

  @Article{,
    title = {coneproj: An R Package for the Primal or Dual Cone
      Projections with Routines for Constrained Regression},
    author = {Xiyue Liao and Mary C. Meyer},
    journal = {Journal of Statistical Software},
    year = {2014},
    volume = {61},
    number = {12},
    pages = {1--22},
  }